{"sources":[{"url":"https://api.imd.fun/artifacts/db22aff7167a4798251ed3d20432509f30e511e4958799aba5b17b41bb39b4b6","quote":"\"code_sha256\":\"bf0d179f3e47d28819f6fa7e0d25548c2ced43374c216d36460b00a26a26ffae\""},{"url":"https://raw.githubusercontent.com/danrobinson/prediction-market-challenge/b244530ee2a6247b5f930830eeca9dd950da0e7e/orderbook_pm_challenge/config.py","quote":"    n_steps: int = 2_000"},{"url":"https://raw.githubusercontent.com/danrobinson/prediction-market-challenge/b244530ee2a6247b5f930830eeca9dd950da0e7e/orderbook_pm_challenge/retail.py","quote":"        mu_ln = math.log(mean) - 0.5 * sigma * sigma"},{"url":"https://raw.githubusercontent.com/danrobinson/prediction-market-challenge/b244530ee2a6247b5f930830eeca9dd950da0e7e/orderbook_pm_challenge/runner.py","quote":"    return replace(base_config, process=process, retail=retail, competitor=competitor)"},{"url":"https://raw.githubusercontent.com/danrobinson/prediction-market-challenge/b244530ee2a6247b5f930830eeca9dd950da0e7e/orderbook_pm_challenge/engine.py","quote":"                actions = strategy.on_step(state)"},{"url":"https://raw.githubusercontent.com/danrobinson/prediction-market-challenge/b244530ee2a6247b5f930830eeca9dd950da0e7e/orderbook_pm_challenge/types.py","quote":"    competitor_best_ask_ticks: int | None"},{"url":"https://raw.githubusercontent.com/danrobinson/prediction-market-challenge/b244530ee2a6247b5f930830eeca9dd950da0e7e/orderbook_pm_challenge/market.py","quote":"        spread = self._config.competitor.spread_ticks"},{"url":"https://raw.githubusercontent.com/danrobinson/prediction-market-challenge/b244530ee2a6247b5f930830eeca9dd950da0e7e/orderbook_pm_challenge/results.py","quote":"    total_edge: float"}]}